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is ?:annotates of
?:authorAffiliation
  • [\'US Department of Veterans Affairs, Palo Alto Healthcare System, Palo Alto, California, United States of America.\', \'Department of Radiology, Stanford University School of Medicine, Stanford, California, United States of America.\', \'US Department of Veterans Affairs, Central Iowa Health Care System, Des Moines, Iowa, United States of America.\', \'Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.\', \'Department of Surgery, Stanford University School of Medicine, Stanford, California, United States of America.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1371/journal.pone.0236554
?:hasPublicationType
?:journal
  • PloS one
is ?:pmid of
?:pmid
?:pmid
  • 32716922
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.164
?:rankingScore_hIndex
  • 241
?:title
  • Automated EHR score to predict COVID-19 outcomes at US Department of Veterans Affairs.
?:type
?:year
  • 2020

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